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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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Provide lead work direction, training, and guidance to administrative or support staff as needed Maintain inventory and records, order parts and supplies. Support planning and implementation of initiatives
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 17 days ago
of soil samples at controlled temperatures and water contents in order to establish petrophysical relationships, - Integrate the observations acquired into a plant hydraulics model (SUREAU) to simulate
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to mastering the great challenges facing society today. The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Institute CASUS
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monitoring Generic scientific area: Environment Engineering, or similar. Specific scientific area: Environment Engineering, or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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well as international collaborations with Academia. Application procedure and deadline: Required documents: CV; Letter-of-intent; 2 letters of reference; Copy of PhD diploma (or equivalent); Contact information
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PostDoc/Senior Scientist - Process and Plant Design in the Field of Liquid Organic Hydrogen Carriers
Your Job: Development and evaluation of process concepts in the field of liquid organic hydrogen carriers (LOHC) Development of steady-state and dynamic process and reactor models for the simulation
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, and they are being used to simulate user-generated content on social media and for online reviews website at an ever-growing pace. Our research aims to investigate consumers' trust in online reviews and
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, and they are being used to simulate user-generated content on social media and for online reviews website at an ever-growing pace. Our research aims to investigate consumers' trust in online reviews and
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to development of new methodologies within the field. Potential activities include: Developing machine learning methods to support preconditioning and accelerating simulations, one-shot design and inverse design